tf.raw_ops.StatefulTruncatedNormal
Stay organized with collections Save and categorize content based on your preferences.
Outputs random values from a truncated normal distribution.
tf.raw_ops.StatefulTruncatedNormal(
resource,
algorithm,
shape,
dtype=tf.dtypes.float32,
name=None
)
The generated values follow a normal distribution with mean 0 and standard deviation 1, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.
Args |
|---|
resource | A Tensor of type resource. The handle of the resource variable that stores the state of the RNG. |
algorithm | A Tensor of type int64. The RNG algorithm. |
shape | A Tensor. The shape of the output tensor. |
dtype | An optional tf.DType. Defaults to tf.float32. The type of the output. |
name | A name for the operation (optional). |
Returns |
|---|
A Tensor of type dtype. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]